Abdominal and Chest Ultrasonography: A predictor for disease progression in nonsevere dengue.

Background: Dengue is one of the most rapidly spreading arboviral infections in the world. Ultrasound is well established in abdomino-thoracic evaluation of patients with dengue infection. The aim of this study was to explore the role of ultrasound in predicting occurrence of severe infection in dengue patients and in predicting deterioration in patients with nonsevere dengue.

Computed tomography patterns of pulmonary and pleural involvement in lymphoma.

Background: Pulmonary and pleural involvement is fairly common in patients with lymphoma, especially in the setting of progressive or recurrent disease. Pleuropulmonary involvement in lymphoma may occur as a single pattern or as a combination of multiple patterns which can often mimic unrelated pathologies.

Methods: Review of our institutional database from 01 Jan 2015 to 04 Oct 2017 revealed 90 patients with pulmonary and/or pleural lesions attributable to lymphoma.

Artificial intelligence and the radiologist: the future in the Armed Forces Medical Services.

Artificial intelligence (AI) involves computational networks (neural networks) that simulate human intelligence. The incorporation of AI in radiology will help in dealing with the tedious, repetitive, time-consuming job of detecting relevant findings in diagnostic imaging and segmenting the detected images into smaller data. It would also help in identifying details that are oblivious to the human eye.